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Mid-level SDET, metro location, and broad automation requirements create high candidate competition.
Core QA and automation skills transfer across industries, but GenAI and IoT preferences increase specificity.
Explicit 4–8 years, mandatory SDET automation and AI testing skills enforce strict shortlisting.
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Own and evolve scalable test automation frameworks across UI, API, and integration layers with AI-assisted tools to accelerate quality engineering.
Lead functional, regression, and integration testing strategies with automation-first mindset, integrating tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
Drive defect prevention via in-depth root cause analysis, AI-based log analysis, AI-driven self-healing automation, and mentoring junior engineers on quality ownership.
4–8 years hands-on experience in Quality Engineering / SDET roles.
Strong experience with test automation design, UI and API automation frameworks, and BDD frameworks (e.g., Cucumber).
Hands-on experience with CI/CD pipeline integration and expertise with Git version control.
Work Location: Noida Sector 62, office-based 5 days a week.
Experienced in AI-assisted development and testing tools (GitHub Copilot, VS Code Copilot) with ability to prompt, validate, and secure AI-generated outputs.
Proven leadership in defect analysis, preventive quality initiatives, and setting best practices for AI-enabled quality engineering in product-based environments.
Background in product companies, preferably with exposure to IoT, Telecom, distributed systems, and familiarity with cloud platforms and containerized test execution.